JBVCP - Volatilities for Commodity Prices

SAP Transaction Code - Details

• Transaction Code: JBVCP

  Description: Volatilities for Commodity Prices

  Release: S/4HANA and ECC 6

  Menu Path:

  • Accounting > Financial Supply Chain Management > Treasury and Risk Management > Basic Functions > Market Data Management > Manual Market Data Entry > Statistical Data > Volatilities > Enter Volatilities for Commodity Prices

• • Program:

    Screen: 0

    Authorization Object:

  • Development Package: FTB

    Package Description: Applic. development R/3 Treasury risk simulation analysis

    Parent Package: FS_SEM_TRMAN

  • Module/Component: FIN-FSCM-TRM-MR

    Description: Market Risk Analyzer

Smart SAP Assistant

• SAP Tcode: JBVCP - Volatilities for Commodity Prices

  
  Overview:
  JBVCP is a SAP transaction code used to calculate volatilities for commodity prices. It is used to determine the expected price movements of commodities over a given period of time. This transaction code is part of the SAP Commodity Management module. 
  
  Functionality: 
  This transaction code allows users to calculate volatilities for commodity prices. It uses historical data to determine the expected price movements of commodities over a given period of time. This information can be used to make informed decisions about future investments in commodities. 
  
  Step-by-step How to Use: 
  1. Enter the transaction code JBVCP into the command field. 
  2. Select the commodity for which you want to calculate the volatility. 
  3. Enter the start and end dates for which you want to calculate the volatility. 
  4. Select the type of volatility calculation you want to perform (e.g., daily, weekly, monthly). 
  5. Click “Execute” to generate the volatility report. 
  6. Review the report and make any necessary changes or adjustments. 
  7. Click “Save” to save your changes and generate a new report with updated information. 
  
  Other Recommendations: 
  It is important to note that this transaction code should only be used by experienced users who understand how to interpret and use the data generated by this report. Additionally, it is recommended that users review their results carefully before making any decisions based on them.